Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Venkatesan Meenakshi Sundaram"'
Autor:
Naik Nitesh Navnath, Kandasamy Chandrasekaran, Andrzej Stateczny, Venkatesan Meenakshi Sundaram, Prabhavathy Panneer
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5232 (2022)
Current Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved is
Externí odkaz:
https://doaj.org/article/ebd8e477dd334d78a4c209178ff448d3
Publikováno v:
Environmental Earth Sciences. 82
Publikováno v:
Journal of Real-Time Image Processing. 18:1681-1695
Remote sensing image analysis is an emerging area of research and is used for various applications such as climate analysis, crop monitoring and change detection. Hyperspectral image (HSI) is one of the dominant remote sensing imaging modalities that
Publikováno v:
Blockchain and Machine Learning for e-Healthcare Systems ISBN: 9781839531149
Blockchain and Machine Learning for e-Healthcare Systems
Blockchain and Machine Learning for e-Healthcare Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11820d7d499d5ea1231ea5d23b988dd5
https://doi.org/10.1049/pbhe029e_ch4
https://doi.org/10.1049/pbhe029e_ch4
Publikováno v:
Sustainability
Volume 13
Issue 20
Sustainability, Vol 13, Iss 11132, p 11132 (2021)
Volume 13
Issue 20
Sustainability, Vol 13, Iss 11132, p 11132 (2021)
Bitcoin is an innovative and path-breaking technology that has influenced numerous industries across the globe. It is a form of digital currency (cryptocurrency) that can be used for trading and has the potential to replace fiat money, where the unde
This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and
Publikováno v:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 5:142-154
Co-location patterns are the subsets of Boolean spatial features whose instances are often located in close geographic proximity. Neighborhood is a major challenge and a key part of spatial co-location pattern mining. In existing conventional models,